Process Transformation and Software Engineering Specialist, AI

• Map the software factory value stream, from demand intake through support
• Identify bottlenecks, wait times, handoffs, rework, knowledge debt, risks, and quality failures
• Create and maintain a prioritized backlog of AI and automation use cases
• Define hypotheses, baselines, metrics, success criteria, and stop criteria for POCs and pilots
• Redesign delivery workflows before automating them
• Integrate AI into the SDLC, including requirements, architecture, design, coding, review, testing, security, CI/CD, observability, and support
• Build or guide the development of prototypes, agents, RAG solutions, integrations, templates, libraries, and reusable components
• Work with platform engineering to provide secure self-service pathways, approved models, observability, and cost controls
• Define controls and governance for AI-generated code and artifacts, including human review, testing, security analysis, intellectual property, and privacy (LGPD)
• Drive solution adoption across teams through training, communities, office hours, pairing, and champion programs
• Measure and report on flow, quality, security, cost, experience, and adoption outcomes to demonstrate business value

• Bachelor’s degree in Information Technology, Information Systems, Software Engineering, Computer Science, or a related field
• At least 7 years of professional experience in production software engineering, delivery, platform engineering, DevOps, Quality Engineering (QE), SRE, architecture, or technology process transformation
• Experience leading projects from diagnosis and problem framing through implementation, production deployment, or measurable adoption
• Practical knowledge of the SDLC, Agile/Kanban/Lean frameworks, Git, testing, CI/CD, code review, and software operations
• Applied experience with generative AI, LLMs, copilots, RAG, agents, or intelligent automation in engineering or process contexts
• Ability to critically evaluate AI outputs, identifying hallucinations, vulnerabilities, inconsistencies, limitations, and the need for human review
• Ability to define operational metrics, establish baselines, interpret telemetry, and explain results without confusing tool activity with real value
• Ownership, systems thinking, clear communication, empathy, influence without relying on formal authority, critical judgment, and a willingness to learn from data
• Preferred: experience with platform engineering, developer experience, DORA/SPACE metrics, or process mining
• Preferred: knowledge of Python, TypeScript/Java/JavaScript, RAG, vector databases, agent orchestration, LLMOps/MLOps
• Preferred: experience with DevSecOps, IAM, compliance, legacy modernization, test automation, and change management

• Medical insurance
• Dental insurance
• Telemedicine
• Life insurance
• Pension assistance
• Flash personalized multibenefit card
• Paid time off
• Birthday day off
• Gympass
• Autonomy and flexibility
• Workplace exercise and quality-of-life programs
• Training and professional development program through Academia X
• Profiler and behavioral assessment